菜单
Unbounded-consumption / denial-of-wallet attacks on LLM apps — force runaway tokens, cost, or latency. Load when testing an LLM product's limits/billing, on "LLM DoS", cost amplification, or resource exhaustion. Signals: user-controlled prompts/max_tokens, agent loops, no rate/'cost caps'.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/NoorQureshi/SploitAgent --skill ai-llm-dos命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Attack Active Directory Certificate Services (ADCS) — ESC1–ESC8 template/CA misconfigurations to escalate to Domain Admin. Load with a domain foothold/creds where ADCS is present, on "certipy", "ESC1", "certificate template", or a CA server. Signals: Cert Publishers, pKIEnrollmentService, ports 443/135 on a CA, certipy find output.
Abuse Active Directory object ACLs/DACLs for lateral movement and escalation — GenericAll, WriteDACL, GenericWrite, WriteOwner, AddMember, ForceChangePassword, and DCSync rights. Load with domain creds + BloodHound showing an ACL edge, on "GenericAll", "WriteDACL", "DCSync", "abuse this edge".
Kerberoasting & AS-REP roasting — request/crack Kerberos tickets to recover service/user passwords offline. Load with any domain foothold or valid domain creds, on "kerberoast", "AS-REP", SPNs, service accounts, ports 88/389. Signals: domain creds in hand, SPNs set, accounts with pre-auth disabled.
正在显示 SKILL.md
| name | ai-llm-dos |
| description | Unbounded-consumption / denial-of-wallet attacks on LLM apps — force runaway tokens, cost, or latency. Load when testing an LLM product's limits/billing, on "LLM DoS", cost amplification, or resource exhaustion. Signals: user-controlled prompts/max_tokens, agent loops, no rate/'cost caps'. |
| domain | ai-ml |
| type | technique |
| stability | learning |
| modes | ["bugbounty","defense"] |
| severity | medium |
| owasp_llm | ["LLM10:2025-Unbounded-Consumption"] |
| cwe | ["CWE-770","CWE-400"] |
| tools | [] |
| schema_version | 1 |
An LLM feature lets users drive expensive computation with weak limits. Unlike classic DoS, the damage is often financial (the provider bills per token) — "denial of wallet" — plus latency/availability.
Inference cost scales with tokens and calls. If the app lets users control input size, output
length (max_tokens), recursion (agent loops, tool chains), or call volume without hard caps, an
attacker amplifies cost/latency far beyond normal use.
max_tokens if client-controlled.ai-agent-tool-abuse) that burn calls.web-rate-limit-bypass) and fan out concurrent expensive requests.A single request (or a modest, controlled burst) demonstrably drives disproportionate token/cost or latency — showing missing consumption limits.
OWASP LLM Top 10 (2025) LLM10; "denial of wallet" research; provider rate/quota docs.